Senior Data Engineer (Databricks)

140 - 180 PLN/ godz./ godz.B2BB2B (netto)

SeniorZdalnie·WarszawaFull-time·B2B

#471208·Dodano 5 dni temu·2

Źródło: nofluffjobs.com

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Tech Stack / Keywords

Python SQLData engineeringCloud ArchitectureETL / ELTData modelingBig data Spark Azure Databricks Apache Spark Apache Airflow Terraform CI/CDMLOpsAzure DevOps ServerMentoring

Podsumowanie oferty

Design and scale clients’ cloud data platforms, including production-grade data pipelines and data models. The role focuses on cloud data architecture and engineering using Azure, Databricks, and Spark.

Wymagania

4+ years of hands-on experience as a Data Engineer or in a closely related engineering role.
2+ years of experience working with cloud platforms; Azure experience is preferred, while AWS or GCP experience is also valuable.
Strong Python skills, including the ability to write maintainable, production-ready code in distributed data environments.
Advanced SQL proficiency and experience with relational databases such as SQL Server and PostgreSQL.
Expertise in data warehouse modeling, ETL/ELT architectures, and modern data design patterns; Lakehouse experience is preferred.
Understanding of cloud architecture, networking fundamentals, security, APIs, and scalable systems.
Experience working with large-scale, high-volume datasets.
Ability to operate autonomously and drive initiatives in dynamic, evolving cloud projects.

Nice to have:

Experience with Databricks, Apache Spark, or PySpark.
Hands-on knowledge of Apache Airflow or other orchestration tools.
Experience with Azure DevOps or GitHub Actions for CI/CD.
Familiarity with infrastructure as code, such as Terraform or Bicep.
Exposure to AI/ML pipelines or MLOps environments.

Obowiązki

Design and implement scalable, production-grade data pipelines, data models, and data processing frameworks in cloud environments.
Lead the technical design of cloud data architectures and contribute to standards, guidelines, and long-term platform strategy.
Drive data engineering best practices in quality assurance, lineage, observability, testing, automation, and documentation.
Optimize data workflows for performance, cost efficiency, and reliability across distributed systems.
Collaborate with clients and senior stakeholders to understand requirements, propose solutions, and communicate technical decisions.
Work with CI/CD pipelines, infrastructure as code, and automation (DataOps) to streamline deployments and operations.
Integrate data solutions with BI, ML, and application layers across client environments.
Mentor mid-level engineers and support their technical growth, without formal line management.
Stay up to date with emerging technologies and propose innovations to enhance platform capabilities.

Benefity

MyBenefit platform / Multisport.
Enel-Med private medical care.
Annual development budget of 2,000 PLN.
Access to e-learning platforms.
Company-wide trips, including international trips.
Team integration budgets.

Karta sportowa

Opieka zdrowotna

Dofinansowanie szkoleń

Elastyczne godziny

Spotkania integracyjne

Inne informacje

Remote work from anywhere in the world is offered.

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